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Posted

Hello guys :)

I want to apply to MSc/PhD in Stats/Machine Learning. I want to have wide exposure to data mining, analytics, big data. My profile is:

1.Bachelor in Mathematics with Concentration in Statistics, GPA: 3.94 

2. GRE quant: 168, verbal: 148, AWA: 3.

3. Lots of competitions won: International Mathematics Competition 3rd place, National Mathematics Olympiad 3rd place

4. BY the end of bachelor degree will complete around 150 credits, it is like 5 years of study.

5. Working as Data analyst at retail company, part-time

6. Limited exposure to research(now doing research with Professor on stochastic data analysis)

7. Some advanced courses: Regression, Desing of experiments, Time series, Nonparametric, Intro/Intermediate/Advanced R, SAS, Real Analysis, Measure Theory, Complex analysis, PDE, Numerical Methods, Linear/Nonlinear Optimization, Stochastic Processes. 

8. Courses also include other programming languages as C and Java. Also have taken Economics courses.

9. Was visiting student at the University of Wisconsin Madison, studied Intro/Intermediate/Advanced R there

10. Participated in ACM 1/4 final

Applying to:

1. UWashington - PhD in Statistics

2. UChicago - PhD in Statistics

3. MIT - PhD in OR

4. UNC Chapel Hill - PhD in STOR

5. UMichigan - PhD in Stats

6. Northwestern - PhD in Indus. Eng and Management

7. CMU - PhD in Machine Learning

8. UToronto - MSc in Statistics

9.Berkeley - PhD in Statistics

Will have LOR from professor who was in UWashington, now in our dep.

After the degree want to end up in the industry, some tech company or consulting. 

What do you think? What can you recommend? What do you think about my chances? THANK YOU in ADVANCE.

  • 3 weeks later...
Posted

Limited research experience makes master's programs more practical. However, with your courswork I'd guess you might be able to get into some less competive PhD programs, assuming your GRE doesn't keep you out. Although 148 isn't *that* bad.

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